ThyExp: An explainable AI-assisted Decision Making Toolkit for Thyroid Nodule Diagnosis based on Ultra-sound Images

Author:

Morris Jamie1ORCID,Liu Zehao2ORCID,Liang Huizhi2ORCID,Nagala Sidhartha3ORCID,Hong Xia1ORCID

Affiliation:

1. The University of Reading, Reading, United Kingdom

2. Newcastle University, Newcastle Upon Tyne, United Kingdom

3. Royal Berkshire Hospital, Reading, United Kingdom

Funder

Collaborative Innovation Fund of Royal Berkshire NHS Foundation Trust and University of Reading

Publisher

ACM

Reference4 articles.

1. Thyroid nodules risk stratification through deep learning based on ultrasound images

2. AmCad BioMed . 2019. AmCAD- UT. https://www.amcadbiomed.com/product/ut Retrieved June 16, 2023 from AmCad BioMed. 2019. AmCAD-UT. https://www.amcadbiomed.com/product/ut Retrieved June 16, 2023 from

3. Computer-Aided Diagnostic System for Thyroid Nodules on Ultrasonography: Diagnostic Performance Based on the Thyroid Imaging Reporting and Data System Classification and Dichotomous Outcomes

4. Heng Ye , Jing Hang , Xiaowei Chen , Di Xu , Jie Chen , Xinhua Ye , and Dong H . Zhang . 2020 . An intelligent platform for ultrasound diagnosis of thyroid nodules. Scientific Reports, Vol. 10 , 1, Article 13223. https://doi.org/10.1038/s41598-020--70159-y 10.1038/s41598-020--70159-y Heng Ye, Jing Hang, Xiaowei Chen, Di Xu, Jie Chen, Xinhua Ye, and Dong H. Zhang. 2020. An intelligent platform for ultrasound diagnosis of thyroid nodules. Scientific Reports, Vol. 10, 1, Article 13223. https://doi.org/10.1038/s41598-020--70159-y

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